Abstract
A Bayesian modeling approach to bi-directional pedestrian flows in carnival events
Highlights
Walking is an environmentally friendly mode of transportation
Considering that pedestrian movement is usually bi-directional, with properties that vary between types of walking facilities, crowd movement at carnival events has attracted the attention of researchers in recent years
Considering that pedestrians were likely to stop walking when their attention was attracted by the displays, a crossing between two shopping zones was selected as the region of interest (ROI) because more pedestrians were expected to continue walking in this area
Summary
Walking is an environmentally friendly mode of transportation. A better understanding of pedestrian activities promotes effective planning of walking facilities, which is important in densely populated Asian cities, such as Hong Kong. In addition to the investigations of crowd movement at mass gatherings, empirical studies of pedestrian flow in various walking facilities have been conducted in the past few decades For such investigations, controlled experiments can be designed to cover a full range of model parameters and conditions. Images were extracted from the original video at 0.2 s intervals and incorporated into a computer program designed to analyze the positions and displacement of individual pedestrians in the crowd This dataset enabled us to validate the mathematical model of bidirectional pedestrian movement proposed by Xie et al (2013) and provided us with further insight into pedestrian behavior at carnival events. The information obtained from a controlled experiment by Wong et al (2010) constituted the prior data
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